cu-go-bart-large-cnn_dailymail
This model is a fine-tuned version of facebook/bart-large on the cnn_dailymail 3.0.0 dataset. It achieves the following results on the evaluation set:
- Loss: 1.4156
- Rouge1: 44.9169
- Rouge2: 21.8294
- Rougel: 31.6275
- Rougelsum: 42.0483
- Gen Len: 77.4208
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.35.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.14.1
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Model tree for sammyj4148/cu-go-bart-large-cnn_dailymail
Base model
facebook/bart-largeDataset used to train sammyj4148/cu-go-bart-large-cnn_dailymail
Evaluation results
- Rouge1 on cnn_dailymail 3.0.0validation set self-reported44.917